Noise Prediction and Sound Quality Analysis of Variable-Speed Permanent Magnet Synchronous Motor

Lin, Fei; Deng, Wenzhe

doi:10.1109/tec.2017.2651034

Cited by 60 publications

(22 citation statements)

References 27 publications

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“…For the logistic regression, the regularization parameter was denoted as L2, and the training set was normalized by equation (5). The noise levels predicted by this method are shown in Figure 3.…”

Section: Comparative Experimentsmentioning

confidence: 99%

See 1 more Smart Citation

An Automobile Noise Prediction Model Based on Extension Data Mining Algorithm

Lü¹,

Wang²

2019

RIA

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In recent years, the prediction of automobile noise has attracted much attention from the academia. This paper aims to develop an automobile noise prediction model based on basic vehicle parameters and vehicle speed, rather than the features calculated from noise data. First, the extension data mining (EDM) was adopted to preprocess the original data, select the features and establish the matter-element models of automobile noise. Then, the extremum entropy method (EEM), an improved information entropy method, was selected to determine the weight of each feature for the calculation of comprehensive correlation function. To verify its effectiveness of the proposed model, our model was applied to experiments on an automobile noise dataset, in comparison with logistic regression and decision tree. The results show that our model outperformed the contrastive methods in prediction accuracy, eliminating the need to set hyper-parameters in advance. The research findings provide a new method to predict automobile noise based on basic vehicle parameters and vehicle speed.

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Section: Comparative Experimentsmentioning

confidence: 99%

“…Long-term exposure to automobile noise will lead to physical illnesses like tinnitus, dreaminess, palpitation and irritability, hearing loss and even deafness. Therefore, many acoustic models [1][2][3][4][5][6][7][8][9][10] have been developed to measure and predict automobile noise.…”

Section: Introductionmentioning

confidence: 99%

An Automobile Noise Prediction Model Based on Extension Data Mining Algorithm

Lü¹,

Wang²

2019

RIA

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“…A relative permeance function for the slotted machine was proposed in [5] to modulate the radial component of flux density distribution predicted by the slotless model, which has received extensive applications in the surface permanent magnet motor (SPMM) for predicting radial force. In [6][7][8][9], radial electromagnetic force is calculated by the finite element method, and the influence of radial electromagnetic force on noise and vibration is studied. The pole-slot combination of PMSM is one of the key issues affecting its NVH.…”

Section: Introductionmentioning

confidence: 99%

NVH Optimization Analysis of Permanent Magnet Synchronous Motor by Rotor Slotting

et al. 2020

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With the development of new energy vehicles, the NVH (Noise, Vibration, Harshness) performance of the permanent magnet synchronous motors (PMSM) for vehicles has attracted more and more attention. The rotor slotting optimization analysis is the critical issue in the NVH performance study of PMSM. In this paper, the theoretical formula of the PMSM radial electromagnetic force is presented. Based on which, the spatial order and frequency order characteristics of the radial force of a 6-pole 36-slot PMSM are analyzed. Firstly, electromagnetic simulation of the motor is carried out, and the specific force components, which may cause an NVH problem, is extracted. Secondly, the harmonics are calculated with a method of freezing the relative magnetic permeability. Thirdly, the motor is optimized by rotor slotting to reduce the amplitudes of these harmonics, and the effect on electromagnetic noise is analyzed in theory and simulation. Finally, the NVH test in original state and after rotor slotting state was performed in the semi-anechoic chamber. The accuracy of the theory and simulation was verified based on the comparison of the measured noise data. This paper provides a new NVH optimization idea, this method can quickly locate the fundamental problem location of electromagnetic NVH, provide a fast channel for electromagnetic NVH optimization from simulation to verification, and improve the optimization efficiency of NVH.

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“…On this basis, a multiphysics simulation model for predicting the electromagnetic vibration and noise was thus established. In [8], a multiphysics model combining 2D FEM, 3D structural model, and acoustic model was adopted to study the electromagnetic vibration problem in a wide‐speed range.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic force density calculation in surface‐mounted PM synchronous machine with rotor eccentricity by an equivalent transformation method

Ren

Wang

Zhao

et al. 2020

IET Electric Power Applications

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An equivalent transformation method is proposed to calculate the electromagnetic force density of surface‐mounted permanent magnet (PM) synchronous machine with static and dynamic eccentricities. It hypothetically transforms the original, eccentric machine into a concentric one with redistributed PM remanence and current density according to equivalent transformation principle. On the basis of the magnetic field of the concentric machine obtained by the subdomain method, the air‐gap flux density of the eccentric machine is then achieved. Finally, the electromagnetic force density is predicted by the air‐gap field based on Maxwell stress tensor method and analysed by the two‐dimensional Fourier transform. The effectiveness of this method is verified on both static and dynamic eccentricities conditions by the finite‐element method and experiment.

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Noise Prediction and Sound Quality Analysis of Variable-Speed Permanent Magnet Synchronous Motor

Cited by 60 publications

References 27 publications

An Automobile Noise Prediction Model Based on Extension Data Mining Algorithm

An Automobile Noise Prediction Model Based on Extension Data Mining Algorithm

NVH Optimization Analysis of Permanent Magnet Synchronous Motor by Rotor Slotting

Electromagnetic force density calculation in surface‐mounted PM synchronous machine with rotor eccentricity by an equivalent transformation method

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